Updated documentation and cleaned up the code.
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@ -37,110 +37,104 @@ class _HARLog(HAR.log):
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def start(context, argv):
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"""
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On start we reset the HAR, it's not really necessary since it will have been
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instantiated earlier during initial parsing of this file. You will have to
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adapt this to suit your actual needs of HAR generation.
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"""
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HARLog.reset()
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def clientconnect(context, conn_handler):
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"""
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Called when a client initiates a connection to the proxy. Note that a
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connection can correspond to multiple HTTP requests
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"""
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import time
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context.log("clientconnect" + str(time.time()))
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def serverconnect(context, conn_handler):
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"""
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Called when the proxy initiates a connection to the target server. Note that a
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connection can correspond to multiple HTTP requests
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"""
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CONNECT_TIMES.pop(conn_handler.server_conn.address.address, None)
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SSL_TIMES.pop(conn_handler.server_conn.address.address, None)
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import time
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context.log("serverconnect " + str(time.time()))
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def request(context, flow):
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"""
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Called when a client request has been received.
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"""
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# print_attributes(flow)
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# print_attributes(context)
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import time
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context.log("request " + str(time.time()) + " " + str(flow.request.timestamp_start))
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def responseheaders(context, flow):
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"""
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Called when the response headers for a server response have been received,
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but the response body has not been processed yet. Can be used to tell mitmproxy
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to stream the response.
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"""
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context.log("responseheaders")
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context.seen_server_connect = set()
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context.seen_server_ssl = set()
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def response(context, flow):
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"""
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Called when a server response has been received.
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Called when a server response has been received. At the time of this message both
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a request and a response are present and completely done.
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"""
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import time
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context.log("response " + str(time.time()) + " " + str(flow.request.timestamp_start))
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context.log("response " + str(time.time()) + " " + str(flow.response.timestamp_end))
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connect_time = CONNECT_TIMES.get(flow.server_conn.address.address,
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int((flow.server_conn.timestamp_tcp_setup
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- flow.server_conn.timestamp_start)
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* 1000))
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CONNECT_TIMES[flow.server_conn.address.address] = -1
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connect_time = -1
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if flow.server_conn not in context.seen_server_connect:
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# Calculate the connect_time for this server_conn. Afterwards add it to seen list, in
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# order to avoid the connect_time being present in entries that use an existing connection.
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connect_time = flow.server_conn.timestamp_tcp_setup - flow.server_conn.timestamp_start
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context.seen_server_connect.add(flow.server_conn)
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ssl_time = -1
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if flow.server_conn.timestamp_ssl_setup is not None:
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ssl_time = SSL_TIMES.get(flow.server_conn.address.address,
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int((flow.server_conn.timestamp_ssl_setup
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- flow.server_conn.timestamp_tcp_setup)
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* 1000))
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SSL_TIMES[flow.server_conn.address.address] = -1
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if flow.server_conn not in context.seen_server_connect \
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and flow.server_conn.timestamp_ssl_setup is not None:
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# Get the ssl_time for this server_conn as the difference between the start of the successful
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# tcp setup and the successful ssl setup. Afterwards add it to seen list, in order to avoid
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# the ssl_time being present in entries that use an existing connection. If no ssl setup has
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# been made initiate it is also left as -1 since it doesn't apply to this connection.
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ssl_time = flow.server_conn.timestamp_ssl_setup - flow.server_conn.timestamp_tcp_setup
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context.seen_server_ssl.add(flow.server_conn)
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timings = {'send': int((flow.request.timestamp_end - flow.request.timestamp_start) * 1000),
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'wait': int((flow.response.timestamp_start - flow.request.timestamp_end) * 1000),
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'receive': int((flow.response.timestamp_end - flow.response.timestamp_start) * 1000),
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'connect': connect_time,
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'ssl': ssl_time}
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# Calculate the raw timings from the different timestamps present in the request and response object.
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# For lack of a way to measure it dns timings can not be calculated. The same goes for HAR blocked:
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# MITMProxy will open a server connection as soon as it receives the host and port from the client
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# connection. So the time spent waiting is actually spent waiting between request.timestamp_end and
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# response.timestamp_start thus it correlates to HAR wait instead.
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timings_raw = {'send': flow.request.timestamp_end - flow.request.timestamp_start,
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'wait': flow.response.timestamp_start - flow.request.timestamp_end,
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'receive': flow.response.timestamp_end - flow.response.timestamp_start,
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'connect': connect_time,
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'ssl': ssl_time}
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# HAR timings are integers in ms, so we have to re-encode the raw timings to that format.
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timings = dict([(key, int(1000 * value)) for key, value in timings_raw.iteritems()])
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# The full_time is the sum of all timings. Timings set to -1 will be ignored as per spec.
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full_time = 0
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for item in timings.values():
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if item > -1:
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full_time += item
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entry = HAR.entries({"startedDateTime": datetime.fromtimestamp(flow.request.timestamp_start, tz=UTC()).isoformat(),
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started_date_time = datetime.fromtimestamp(flow.request.timestamp_start, tz=UTC()).isoformat()
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request_query_string = [{"name": k, "value": v} for k, v in flow.request.get_query()]
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request_http_version = ".".join([str(v) for v in flow.request.httpversion])
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# Cookies are shaped as tuples by MITMProxy.
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request_cookies = [{"name": k.strip(), "value": v[0]} for k, v in (flow.request.get_cookies() or {}).iteritems()]
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request_headers = [{"name": k, "value": v} for k, v in flow.request.headers]
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request_headers_size = len(str(flow.request.headers))
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request_body_size = len(flow.request.content)
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response_http_version = ".".join([str(v) for v in flow.response.httpversion])
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# Cookies are shaped as tuples by MITMProxy.
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response_cookies = [{"name": k.strip(), "value": v[0]} for k, v in (flow.response.get_cookies() or {}).iteritems()]
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response_headers = [{"name": k, "value": v} for k, v in flow.response.headers]
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response_headers_size = len(str(flow.response.headers))
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response_body_size = len(flow.response.content)
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response_body_decoded_size = len(flow.response.content)
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response_body_compression = response_body_decoded_size - response_body_size
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response_mime_type = flow.response.headers.get('Content-Type', [''])[0]
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response_redirect_url = flow.response.headers.get('Location', [''])[0]
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entry = HAR.entries({"startedDateTime": started_date_time,
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"time": full_time,
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"request": {"method": flow.request.method,
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"url": flow.request.url,
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"httpVersion": ".".join([str(v) for v in flow.request.httpversion]),
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"cookies": [{"name": k.strip(), "value": v[0]}
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for k, v in (flow.request.get_cookies() or {}).iteritems()],
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"headers": [{"name": k, "value": v}
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for k, v in flow.request.headers],
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"queryString": [{"name": k, "value": v}
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for k, v in flow.request.get_query()],
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"headersSize": len(str(flow.request.headers).split("\r\n\r\n")[0]),
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"bodySize": len(flow.request.content), },
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"httpVersion": request_http_version,
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"cookies": request_cookies,
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"headers": request_headers,
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"queryString": request_query_string,
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"headersSize": request_headers_size,
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"bodySize": request_body_size, },
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"response": {"status": flow.response.code,
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"statusText": flow.response.msg,
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"httpVersion": ".".join([str(v) for v in flow.response.httpversion]),
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"cookies": [{"name": k.strip(), "value": v[0]}
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for k, v in (flow.response.get_cookies() or {}).iteritems()],
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"headers": [{"name": k, "value": v}
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for k, v in flow.response.headers],
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"content": {"size": len(flow.response.content),
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"compression": len(flow.response.get_decoded_content()) - len(
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flow.response.content),
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"mimeType": flow.response.headers.get('Content-Type', ('', ))[0]},
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"redirectURL": flow.response.headers.get('Location', ''),
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"headersSize": len(str(flow.response.headers).split("\r\n\r\n")[0]),
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"bodySize": len(flow.response.content), },
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"httpVersion": response_http_version,
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"cookies": response_cookies,
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"headers": response_headers,
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"content": {"size": response_body_size,
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"compression": response_body_compression,
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"mimeType": response_mime_type},
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"redirectURL": response_redirect_url,
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"headersSize": response_headers_size,
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"bodySize": response_body_size, },
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"cache": {},
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"timings": timings, })
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# If the current url is in HARPAGE_LIST or does not have a referer we add it as a new pages object.
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if flow.request.url in HARPAGE_LIST or flow.request.headers.get('Referer', None) is None:
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PAGE_COUNT[1] += 1
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page_id = "_".join([str(v) for v in PAGE_COUNT])
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@ -150,31 +144,14 @@ def response(context, flow):
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PAGE_REF[flow.request.url] = page_id
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entry['pageref'] = page_id
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if flow.request.headers.get('Referer', (None, ))[0] in PAGE_REF.keys():
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# Lookup the referer in our PAGE_REF dict to point this entries pageref attribute to the right pages object.
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elif flow.request.headers.get('Referer', (None, ))[0] in PAGE_REF.keys():
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entry['pageref'] = PAGE_REF[flow.request.headers['Referer'][0]]
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PAGE_REF[flow.request.url] = entry['pageref']
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HARLog.add(entry)
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def error(context, flow):
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"""
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Called when a flow error has occured, e.g. invalid server responses, or
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interrupted connections. This is distinct from a valid server HTTP error
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response, which is simply a response with an HTTP error code.
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"""
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# context.log("error")
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def clientdisconnect(context, conn_handler):
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"""
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Called when a client disconnects from the proxy.
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"""
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# print "clientdisconnect"
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# print_attributes(context._master)
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# print_attributes(conn_handler)
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def done(context):
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"""
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Called once on script shutdown, after any other events.
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@ -182,13 +159,21 @@ def done(context):
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from pprint import pprint
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import json
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pprint(json.loads(HARLog.json()))
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print HARLog.json()
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print HARLog.compress()
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print "%s%%" % str(100. * len(HARLog.compress()) / len(HARLog.json()))
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json_dump = HARLog.json()
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compressed_json_dump = HARLog.compress()
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print "=" * 100
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pprint(json.loads(json_dump))
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print "=" * 100
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print "HAR log finished with %s bytes (%s bytes compressed)" % (len(json_dump), len(compressed_json_dump))
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print "Compression rate is %s%%" % str(100. * len(compressed_json_dump) / len(json_dump))
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print "=" * 100
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def print_attributes(obj, filter=None):
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"""
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Useful helper method to quickly get all attributes of an object and its values.
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"""
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for attr in dir(obj):
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# if "__" in attr:
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# continue
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print "%s.%s" % ('obj', attr), value, type(value)
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# Some initializations. Add any page you want to have its own pages object to HARPAGE_LIST
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HARPAGE_LIST = ['https://github.com/']
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HARLog = _HARLog()
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